Triple
T12533656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greer |
E299630
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Rebecca Greer
Rebecca Greer is an American author and journalist known for her influential feminist writings and commentary on women's roles in modern society.
|
E1099952
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Rebecca Greer | Statement: [Greer, hasNotableBearer, Rebecca Greer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebecca Greer Context triple: [Greer, hasNotableBearer, Rebecca Greer]
-
A.
Rachel Greer
Rachel Greer is a professional known for her expertise in Amazon marketplace compliance, product safety, and e-commerce consulting.
-
B.
Tamara Greer
Tamara Greer is a person notable enough to be recognized as a significant bearer of the surname Greer.
-
C.
Rebecca Cottrell
Rebecca Cottrell is the wife of Stephen Cottrell, the Archbishop of York in the Church of England.
-
D.
Rebecca Vest
Rebecca Vest is known as the wife of the late Charles M. Vest, the former president of the Massachusetts Institute of Technology.
-
E.
Rebecca Calhoun
Rebecca Calhoun was the wife of American Revolutionary War general and South Carolina politician Andrew Pickens.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rebecca Greer Triple: [Greer, hasNotableBearer, Rebecca Greer]
Generated description
Rebecca Greer is an American author and journalist known for her influential feminist writings and commentary on women's roles in modern society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rebecca Greer Target entity description: Rebecca Greer is an American author and journalist known for her influential feminist writings and commentary on women's roles in modern society.
-
A.
Rachel Greer
Rachel Greer is a professional known for her expertise in Amazon marketplace compliance, product safety, and e-commerce consulting.
-
B.
Tamara Greer
Tamara Greer is a person notable enough to be recognized as a significant bearer of the surname Greer.
-
C.
Rebecca Cottrell
Rebecca Cottrell is the wife of Stephen Cottrell, the Archbishop of York in the Church of England.
-
D.
Rebecca Vest
Rebecca Vest is known as the wife of the late Charles M. Vest, the former president of the Massachusetts Institute of Technology.
-
E.
Rebecca Calhoun
Rebecca Calhoun was the wife of American Revolutionary War general and South Carolina politician Andrew Pickens.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546b8fd48190ae90e80785b2e2d1 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bab66488190a465e40f1181506e |
completed | May 8, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69fd5d7a5ec48190ab50f6f7c93be24a |
completed | May 8, 2026, 3:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5e1ca1e081908441508d651ecc63 |
completed | May 8, 2026, 3:53 a.m. |
Created at: April 8, 2026, 9:57 p.m.